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        <title>2. Yarn client 模式运行机制源码分析 · 大数据 bigdata_spark_kernel-optimize_atguigu 课堂笔记</title>
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        <li class="header">第 1 部分: Spark 内核</li>
        
        
    
        <li class="chapter " data-level="1.1" data-path="../../">
            
                <a href="../../">
            
                    
                    第 1 章 Spark 内核概述
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="1.1.1" data-path="../../11-spark-he-xin-zu-jian-hui-gu.html">
            
                <a href="../../11-spark-he-xin-zu-jian-hui-gu.html">
            
                    
                    1.1 Spark 核心组件回顾
            
                </a>
            

            
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        <li class="chapter " data-level="1.1.2" data-path="../../12-spark-tong-yong-yun-xing-liu-cheng-gai-shu.html">
            
                <a href="../../12-spark-tong-yong-yun-xing-liu-cheng-gai-shu.html">
            
                    
                    1.2 Spark 通用运行流程概述
            
                </a>
            

            
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            </ul>
            
        </li>
    
        <li class="chapter " data-level="1.2" data-path="../../chapter1.html">
            
                <a href="../../chapter1.html">
            
                    
                    第 2 章 Spark 通讯架构
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="1.2.1" data-path="../../chapter1/21-spark-tong-xun-jia-gou-gai-shu.html">
            
                <a href="../../chapter1/21-spark-tong-xun-jia-gou-gai-shu.html">
            
                    
                    2.1 Spark 通讯架构概述
            
                </a>
            

            
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        <li class="chapter " data-level="1.2.2" data-path="../../chapter1/23-spark-tong-xin-jia-gou-jie-xi.html">
            
                <a href="../../chapter1/23-spark-tong-xin-jia-gou-jie-xi.html">
            
                    
                    2.2 Spark 通信架构解析
            
                </a>
            

            
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        <li class="chapter " data-level="1.2.3" data-path="../../chapter1/22-spark-qi-dong-liu-cheng-fen-xi.html">
            
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                    2.3 Spark 启动流程分析
            
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        <li class="chapter " data-level="1.2.3.1" data-path="../../chapter1/22-spark-qi-dong-liu-cheng-fen-xi/231-master-liu-cheng-fen-xi.html">
            
                <a href="../../chapter1/22-spark-qi-dong-liu-cheng-fen-xi/231-master-liu-cheng-fen-xi.html">
            
                    
                    2.3.1 Master 启动源码分析
            
                </a>
            

            
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        <li class="chapter " data-level="1.2.3.2" data-path="../../chapter1/22-spark-qi-dong-liu-cheng-fen-xi/232-worker-liu-cheng-fen-xi.html">
            
                <a href="../../chapter1/22-spark-qi-dong-liu-cheng-fen-xi/232-worker-liu-cheng-fen-xi.html">
            
                    
                    2.3.2 Worker 启动源码分析
            
                </a>
            

            
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            </ul>
            
        </li>
    

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        <li class="chapter " data-level="1.3" data-path="../../di-3-zhang-spark-bu-shu-mo-shi.html">
            
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                    第 3 章 Spark 部署模式
            
                </a>
            

            
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        <li class="chapter " data-level="1.3.1" data-path="../31-yarn-mo-shi-yun-xing-ji-zhi.html">
            
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                    3.1 Yarn 模式运行机制
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="1.3.1.1" data-path="yarn-mo-shi-yun-xing-ji-zhi-yuan-ma-fen-xi.html">
            
                <a href="yarn-mo-shi-yun-xing-ji-zhi-yuan-ma-fen-xi.html">
            
                    
                    1. Yarn cluster 模式运行机制源码分析
            
                </a>
            

            
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        <li class="chapter active" data-level="1.3.1.2" data-path="yarn-client-mo-shi-yun-xing-ji-zhi-yuan-ma-fen-xi.html">
            
                <a href="yarn-client-mo-shi-yun-xing-ji-zhi-yuan-ma-fen-xi.html">
            
                    
                    2. Yarn client 模式运行机制源码分析
            
                </a>
            

            
        </li>
    

            </ul>
            
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        <li class="chapter " data-level="1.3.2" data-path="../32-standalone-mo-shi-yun-xing-ji-zhi.html">
            
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                    3.2 Standalone 模式运行机制
            
                </a>
            

            
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        <li class="chapter " data-level="1.4" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi.html">
            
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                    第 4 章 Spark 任务调度机制
            
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        <li class="chapter " data-level="1.4.1" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/41-spark-ren-wu-diao-du-gai-shu.html">
            
                <a href="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/41-spark-ren-wu-diao-du-gai-shu.html">
            
                    
                    4.1 Spark 任务调度概述
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.4.2" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/42-spark-stage-ji-bie-diao-du.html">
            
                <a href="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/42-spark-stage-ji-bie-diao-du.html">
            
                    
                    4.2 Spark Stage 级别调度
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.4.3" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/43-spark-task-ji-bie-diao-du.html">
            
                <a href="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/43-spark-task-ji-bie-diao-du.html">
            
                    
                    4.3 Spark Task 级别调度
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="1.4.3.1" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/43-spark-task-ji-bie-diao-du/431-diao-du-ce-lve.html">
            
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                    4.3.1 调度策略
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.4.3.2" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/43-spark-task-ji-bie-diao-du/432-ben-di-hua-diao-du.html">
            
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                    4.3.2 本地化调度
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.4.3.3" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/43-spark-task-ji-bie-diao-du/433-shi-bai-zhong-shi-he-hei-ming-dan.html">
            
                <a href="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/43-spark-task-ji-bie-diao-du/433-shi-bai-zhong-shi-he-hei-ming-dan.html">
            
                    
                    4.3.3 失败重试和黑名单
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="1.4.4" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/44-ren-wu-diao-du-yuan-ma-fen-xi.html">
            
                <a href="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/44-ren-wu-diao-du-yuan-ma-fen-xi.html">
            
                    
                    4.4 Stage 级别任务调度源码分析
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.4.5" data-path="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/45-task-ji-bie-ren-wu-diao-du-yuan-ma-fen-xi.html">
            
                <a href="../../di-4-zhang-spark-ren-wu-diao-du-ji-zhi/45-task-ji-bie-ren-wu-diao-du-yuan-ma-fen-xi.html">
            
                    
                    4.5 Task 级别任务调度源码分析
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="1.5" data-path="../../di-5-zhang-spark-shuffle-jie-xi.html">
            
                <a href="../../di-5-zhang-spark-shuffle-jie-xi.html">
            
                    
                    第 5 章 Spark Shuffle 解析
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="1.5.1" data-path="../../di-5-zhang-spark-shuffle-jie-xi/51-shuffle-de-he-xin-yao-dian.html">
            
                <a href="../../di-5-zhang-spark-shuffle-jie-xi/51-shuffle-de-he-xin-yao-dian.html">
            
                    
                    5.1 Shuffle 的核心要点
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.5.2" data-path="../../di-5-zhang-spark-shuffle-jie-xi/52-hashshuffle-jie-xi.html">
            
                <a href="../../di-5-zhang-spark-shuffle-jie-xi/52-hashshuffle-jie-xi.html">
            
                    
                    5.2 HashShuffle 解析
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.5.3" data-path="../../di-5-zhang-spark-shuffle-jie-xi/53-sortshuffle-jie-xi.html">
            
                <a href="../../di-5-zhang-spark-shuffle-jie-xi/53-sortshuffle-jie-xi.html">
            
                    
                    5.3 SortShuffle 解析
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="1.5.3.1" data-path="../../di-5-zhang-spark-shuffle-jie-xi/53-sortshuffle-jie-xi/sortshuffle-yuan-ma-jie-xi.html">
            
                <a href="../../di-5-zhang-spark-shuffle-jie-xi/53-sortshuffle-jie-xi/sortshuffle-yuan-ma-jie-xi.html">
            
                    
                    SortShuffle 源码解析
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

            </ul>
            
        </li>
    
        <li class="chapter " data-level="1.6" data-path="../../di-6-zhang-spark-nei-cun-jie-xi.html">
            
                <a href="../../di-6-zhang-spark-nei-cun-jie-xi.html">
            
                    
                    第 6 章 Spark 内存管理
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="1.6.1" data-path="../../61-dui-nei-he-dui-wai-nei-cun-gui-hua.html">
            
                <a href="../../61-dui-nei-he-dui-wai-nei-cun-gui-hua.html">
            
                    
                    6.1 堆内核堆外内存规划
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.6.2" data-path="../../62-nei-cun-kong-jian-fen-pei.html">
            
                <a href="../../62-nei-cun-kong-jian-fen-pei.html">
            
                    
                    6.2 内存空间分配
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.6.3" data-path="../../63-cun-chu-nei-cun-guan-li.html">
            
                <a href="../../63-cun-chu-nei-cun-guan-li.html">
            
                    
                    6.3 存储内存管理
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="1.6.4" data-path="../../64-zhi-xing-nei-cun-guan-li.html">
            
                <a href="../../64-zhi-xing-nei-cun-guan-li.html">
            
                    
                    6.4 执行内存管理
            
                </a>
            

            
        </li>
    

            </ul>
            
        </li>
    

    
        
        <li class="header">第 2 部分: Spark 性能优化和故障处理</li>
        
        
    
        <li class="chapter " data-level="2.1" data-path="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua.html">
            
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                    第 7 章 Spark 性能优化
            
                </a>
            

            
            <ul class="articles">
                
    
        <li class="chapter " data-level="2.1.1" data-path="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/71-chang-gui-xing-neng-diao-you.html">
            
                <a href="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/71-chang-gui-xing-neng-diao-you.html">
            
                    
                    7.1 常规性能调优
            
                </a>
            

            
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        <li class="chapter " data-level="2.1.2" data-path="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/72-suan-zi-diao-you.html">
            
                <a href="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/72-suan-zi-diao-you.html">
            
                    
                    7.2 算子调优
            
                </a>
            

            
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        <li class="chapter " data-level="2.1.3" data-path="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/73-shuffle-diao-you.html">
            
                <a href="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/73-shuffle-diao-you.html">
            
                    
                    7.3 Shuffle 调优
            
                </a>
            

            
        </li>
    
        <li class="chapter " data-level="2.1.4" data-path="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/74-jvm-diao-you.html">
            
                <a href="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-7-zhang-spark-xing-neng-you-hua/74-jvm-diao-you.html">
            
                    
                    7.4 JVM 调优
            
                </a>
            

            
        </li>
    

            </ul>
            
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        <li class="chapter " data-level="2.2" data-path="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-8-zhang-spark-shu-ju-qing-xie.html">
            
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                    第 8 章 Spark 数据倾斜解决方案
            
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        <li class="chapter " data-level="2.3" data-path="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-9-zhang-spark-troubleshooting.html">
            
                <a href="../../di-2-bu-52063a-spark-xing-neng-you-hua-he-gu-zhang-chu-li/di-9-zhang-spark-troubleshooting.html">
            
                    
                    第 9 章 Spark Troubleshooting
            
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                                <h1 id="yarn-client-&#x6A21;&#x5F0F;&#x8FD0;&#x884C;&#x673A;&#x5236;&#x6E90;&#x7801;&#x5206;&#x6790;">Yarn client &#x6A21;&#x5F0F;&#x8FD0;&#x884C;&#x673A;&#x5236;&#x6E90;&#x7801;&#x5206;&#x6790;</h1>
<p>&#x6267;&#x884C;&#x4E0B;&#x9762;&#x7684;&#x4EE3;&#x7801;:</p>
<pre class="language-"><code class="lang-bash">bin/spark-submit \
--class org.apache.spark.examples.SparkPi \
--master yarn \
--deploy-mode client \
./examples/jars/spark-examples_2.11-2.1.1.jar \
100
</code></pre>
<p>&#x542F;&#x52A8;&#x7C7B;:</p>
<pre class="language-"><code class="lang-bash">/opt/module/jdk1.8.0_172/bin/java 
-cp /opt/module/spark-yarn/conf/:/opt/module/spark-yarn/jars/*:/opt/module/hadoop-2.7.2/etc/hadoop/ 
-Xmx1g 
org.apache.spark.deploy.SparkSubmit 
--master yarn 
--deploy-mode client 
--class org.apache.spark.examples.SparkPi 
./examples/jars/spark-examples_2.11-2.1.1.jar 100
</code></pre>
<p>&#x4F9D;&#x6B21;&#x542F;&#x52A8; 3 &#x4E2A;&#x4E0D;&#x540C;&#x7684;&#x8FDB;&#x7A0B;:</p>
<pre class="language-"><code class="lang-bash">SparkSubmit
ExecutorLauncher
CoarseGrainedExecutorBackend
</code></pre>
<h2 id="client-&#x6A21;&#x5F0F;&#x4E0B;&#x76F4;&#x63A5;&#x8FD0;&#x884C;&#x7528;&#x6237;&#x7684;&#x4E3B;&#x7C7B;"><code>client</code> &#x6A21;&#x5F0F;&#x4E0B;&#x76F4;&#x63A5;&#x8FD0;&#x884C;&#x7528;&#x6237;&#x7684;&#x4E3B;&#x7C7B;:</h2>
<blockquote>
<p><code>prepareSubmitEnvironment</code> &#x65B9;&#x6CD5;</p>
</blockquote>
<pre class="language-"><code class="lang-scala"><span class="token comment">/*
    client &#x6A21;&#x5F0F;&#x4E0B;, &#x76F4;&#x63A5;&#x542F;&#x52A8;&#x7528;&#x6237;&#x7684;&#x4E3B;&#x7C7B;
*/</span>
<span class="token keyword">if</span> <span class="token punctuation">(</span>deployMode <span class="token operator">==</span> CLIENT <span class="token operator">||</span> isYarnCluster<span class="token punctuation">)</span> <span class="token punctuation">{</span>
    <span class="token comment">// &#x5982;&#x679C;&#x662F;&#x5BA2;&#x6237;&#x7AEF;&#x6A21;&#x5F0F;, childMainClass &#x5C31;&#x662F;&#x7528;&#x6237;&#x7684;&#x7C7B;</span>
    <span class="token comment">// &#x96C6;&#x7FA4;&#x6A21;&#x5F0F;&#x4E0B;, childMainClass &#x88AB;&#x91CD;&#x65B0;&#x8D4B;&#x503C;&#x4E3A; org.apache.spark.deploy.yarn.Client</span>
    childMainClass <span class="token operator">=</span> args<span class="token punctuation">.</span>mainClass
<span class="token punctuation">}</span>
</code></pre>
<p>&#x7136;&#x540E;&#x4E0D;&#x4F1A;&#x521B;&#x5EFA;<code>ApplicationMaster</code>, &#x800C;&#x662F;&#x76F4;&#x63A5;&#x6267;&#x884C;&#x7528;&#x6237;&#x7C7B;&#x7684;<code>main</code>&#x65B9;&#x6CD5;</p>
<p>&#x7136;&#x540E;&#x5F00;&#x59CB;&#x5B9E;&#x4F8B;&#x5316; <code>SparkContext</code></p>
<h2 id="&#x5B9E;&#x4F8B;&#x5316;sparkcontext">&#x5B9E;&#x4F8B;&#x5316;<code>SparkContext</code></h2>
<pre class="language-"><code class="lang-scala"><span class="token keyword">val</span> <span class="token punctuation">(</span>sched<span class="token punctuation">,</span> ts<span class="token punctuation">)</span><span class="token operator">:</span><span class="token punctuation">(</span>SchedulerBackend<span class="token punctuation">,</span> TaskScheduler<span class="token punctuation">)</span> <span class="token operator">=</span> SparkContext<span class="token punctuation">.</span>createTaskScheduler<span class="token punctuation">(</span><span class="token keyword">this</span><span class="token punctuation">,</span> master<span class="token punctuation">,</span> deployMode<span class="token punctuation">)</span>
_schedulerBackend <span class="token operator">=</span> sched
_taskScheduler <span class="token operator">=</span> ts
<span class="token comment">// &#x542F;&#x52A8; YarnScheduler</span>
_taskScheduler<span class="token punctuation">.</span>start<span class="token punctuation">(</span><span class="token punctuation">)</span>
</code></pre>
<blockquote>
<p><code>SparkContext.createTaskScheduler</code> &#x65B9;&#x6CD5;</p>
</blockquote>
<p>&#x5173;&#x952E;&#x4EE3;&#x7801;:</p>
<pre class="language-"><code class="lang-scala"><span class="token keyword">private</span> <span class="token keyword">def</span> createTaskScheduler<span class="token punctuation">(</span>
                                   sc<span class="token operator">:</span> SparkContext<span class="token punctuation">,</span>
                                   master<span class="token operator">:</span> <span class="token builtin">String</span><span class="token punctuation">,</span>
                                   deployMode<span class="token operator">:</span> <span class="token builtin">String</span><span class="token punctuation">)</span><span class="token operator">:</span> <span class="token punctuation">(</span>SchedulerBackend<span class="token punctuation">,</span> TaskScheduler<span class="token punctuation">)</span> <span class="token operator">=</span> <span class="token punctuation">{</span>
    <span class="token keyword">import</span> SparkMasterRegex<span class="token punctuation">.</span>_

    master <span class="token keyword">match</span> <span class="token punctuation">{</span>

        <span class="token keyword">case</span> masterUrl <span class="token keyword">=&gt;</span>
            <span class="token comment">// &#x5F97;&#x5230;&#x7684;&#x662F; YarnClusterManager</span>
            <span class="token keyword">val</span> cm <span class="token operator">=</span> getClusterManager<span class="token punctuation">(</span>masterUrl<span class="token punctuation">)</span> <span class="token keyword">match</span> <span class="token punctuation">{</span>
                <span class="token keyword">case</span> Some<span class="token punctuation">(</span>clusterMgr<span class="token punctuation">)</span> <span class="token keyword">=&gt;</span> clusterMgr
                <span class="token keyword">case</span> None <span class="token keyword">=&gt;</span> <span class="token keyword">throw</span> <span class="token keyword">new</span> SparkException<span class="token punctuation">(</span><span class="token string">&quot;Could not parse Master URL: &apos;&quot;</span> <span class="token operator">+</span> master <span class="token operator">+</span> <span class="token string">&quot;&apos;&quot;</span><span class="token punctuation">)</span>
            <span class="token punctuation">}</span>
            <span class="token keyword">try</span> <span class="token punctuation">{</span>
                <span class="token comment">// &#x521B;&#x5EFA; YarnScheduler</span>
                <span class="token keyword">val</span> scheduler<span class="token operator">:</span> TaskScheduler <span class="token operator">=</span> cm<span class="token punctuation">.</span>createTaskScheduler<span class="token punctuation">(</span>sc<span class="token punctuation">,</span> masterUrl<span class="token punctuation">)</span>
                <span class="token comment">// &#x521B;&#x5EFA; YarnClientSchedulerBackend</span>
                <span class="token keyword">val</span> backend<span class="token operator">:</span> SchedulerBackend <span class="token operator">=</span> cm<span class="token punctuation">.</span>createSchedulerBackend<span class="token punctuation">(</span>sc<span class="token punctuation">,</span> masterUrl<span class="token punctuation">,</span> scheduler<span class="token punctuation">)</span>
                cm<span class="token punctuation">.</span>initialize<span class="token punctuation">(</span>scheduler<span class="token punctuation">,</span> backend<span class="token punctuation">)</span>
                <span class="token punctuation">(</span>backend<span class="token punctuation">,</span> scheduler<span class="token punctuation">)</span>
            <span class="token punctuation">}</span> <span class="token keyword">catch</span> <span class="token punctuation">{</span>

            <span class="token punctuation">}</span>
    <span class="token punctuation">}</span>
<span class="token punctuation">}</span>
</code></pre>
<blockquote>
<p><code>YarnClusterManager</code> &#x7C7B;</p>
</blockquote>
<pre class="language-"><code class="lang-scala"><span class="token keyword">private</span><span class="token punctuation">[</span>spark<span class="token punctuation">]</span> <span class="token keyword">class</span> YarnClusterManager <span class="token keyword">extends</span> ExternalClusterManager <span class="token punctuation">{</span>

    <span class="token keyword">override</span> <span class="token keyword">def</span> canCreate<span class="token punctuation">(</span>masterURL<span class="token operator">:</span> <span class="token builtin">String</span><span class="token punctuation">)</span><span class="token operator">:</span> <span class="token builtin">Boolean</span> <span class="token operator">=</span> <span class="token punctuation">{</span>
        masterURL <span class="token operator">==</span> <span class="token string">&quot;yarn&quot;</span>
    <span class="token punctuation">}</span>

    <span class="token keyword">override</span> <span class="token keyword">def</span> createTaskScheduler<span class="token punctuation">(</span>sc<span class="token operator">:</span> SparkContext<span class="token punctuation">,</span> masterURL<span class="token operator">:</span> <span class="token builtin">String</span><span class="token punctuation">)</span><span class="token operator">:</span> TaskScheduler <span class="token operator">=</span> <span class="token punctuation">{</span>
        sc<span class="token punctuation">.</span>deployMode <span class="token keyword">match</span> <span class="token punctuation">{</span>
            <span class="token keyword">case</span> <span class="token string">&quot;cluster&quot;</span> <span class="token keyword">=&gt;</span> <span class="token keyword">new</span> YarnClusterScheduler<span class="token punctuation">(</span>sc<span class="token punctuation">)</span>
            <span class="token keyword">case</span> <span class="token string">&quot;client&quot;</span> <span class="token keyword">=&gt;</span> <span class="token keyword">new</span> YarnScheduler<span class="token punctuation">(</span>sc<span class="token punctuation">)</span>
            <span class="token keyword">case</span> _ <span class="token keyword">=&gt;</span> <span class="token keyword">throw</span> <span class="token keyword">new</span> SparkException<span class="token punctuation">(</span>s<span class="token string">&quot;Unknown deploy mode &apos;${sc.deployMode}&apos; for Yarn&quot;</span><span class="token punctuation">)</span>
        <span class="token punctuation">}</span>
    <span class="token punctuation">}</span>

    <span class="token keyword">override</span> <span class="token keyword">def</span> createSchedulerBackend<span class="token punctuation">(</span>sc<span class="token operator">:</span> SparkContext<span class="token punctuation">,</span>
                                        masterURL<span class="token operator">:</span> <span class="token builtin">String</span><span class="token punctuation">,</span>
                                        scheduler<span class="token operator">:</span> TaskScheduler<span class="token punctuation">)</span><span class="token operator">:</span> SchedulerBackend <span class="token operator">=</span> <span class="token punctuation">{</span>
        sc<span class="token punctuation">.</span>deployMode <span class="token keyword">match</span> <span class="token punctuation">{</span>
            <span class="token keyword">case</span> <span class="token string">&quot;cluster&quot;</span> <span class="token keyword">=&gt;</span>
                <span class="token keyword">new</span> YarnClusterSchedulerBackend<span class="token punctuation">(</span>scheduler<span class="token punctuation">.</span>asInstanceOf<span class="token punctuation">[</span>TaskSchedulerImpl<span class="token punctuation">]</span><span class="token punctuation">,</span> sc<span class="token punctuation">)</span>
            <span class="token keyword">case</span> <span class="token string">&quot;client&quot;</span> <span class="token keyword">=&gt;</span>
                <span class="token keyword">new</span> YarnClientSchedulerBackend<span class="token punctuation">(</span>scheduler<span class="token punctuation">.</span>asInstanceOf<span class="token punctuation">[</span>TaskSchedulerImpl<span class="token punctuation">]</span><span class="token punctuation">,</span> sc<span class="token punctuation">)</span>
            <span class="token keyword">case</span> _ <span class="token keyword">=&gt;</span>
                <span class="token keyword">throw</span> <span class="token keyword">new</span> SparkException<span class="token punctuation">(</span>s<span class="token string">&quot;Unknown deploy mode &apos;${sc.deployMode}&apos; for Yarn&quot;</span><span class="token punctuation">)</span>
        <span class="token punctuation">}</span>
    <span class="token punctuation">}</span>

    <span class="token keyword">override</span> <span class="token keyword">def</span> initialize<span class="token punctuation">(</span>scheduler<span class="token operator">:</span> TaskScheduler<span class="token punctuation">,</span> backend<span class="token operator">:</span> SchedulerBackend<span class="token punctuation">)</span><span class="token operator">:</span> <span class="token builtin">Unit</span> <span class="token operator">=</span> <span class="token punctuation">{</span>
        scheduler<span class="token punctuation">.</span>asInstanceOf<span class="token punctuation">[</span>TaskSchedulerImpl<span class="token punctuation">]</span><span class="token punctuation">.</span>initialize<span class="token punctuation">(</span>backend<span class="token punctuation">)</span>
    <span class="token punctuation">}</span>
<span class="token punctuation">}</span>
</code></pre>
<blockquote>
<p><code>_taskScheduler.start()</code> </p>
</blockquote>
<p><code>YarnClientSchedulerBackend</code> &#x7684; <code>start</code> &#x65B9;&#x6CD5;</p>
<pre class="language-"><code class="lang-scala">
<span class="token comment">/**
  * Create a Yarn client to submit an application to the ResourceManager.
  * This waits until the application is running.
  *
  * &#x521B;&#x5EFA;&#x5BA2;&#x6237;&#x7AEF;, &#x63D0;&#x4EA4;&#x5E94;&#x7528;&#x7ED9; ResourceManager
  * &#x4F1A;&#x4E00;&#x76F4;&#x7B49;&#x5230;&#x5E94;&#x7528;&#x5F00;&#x59CB;&#x6267;&#x884C;
  */</span>
<span class="token keyword">override</span> <span class="token keyword">def</span> start<span class="token punctuation">(</span><span class="token punctuation">)</span> <span class="token punctuation">{</span>
    <span class="token keyword">val</span> driverHost <span class="token operator">=</span> conf<span class="token punctuation">.</span>get<span class="token punctuation">(</span><span class="token string">&quot;spark.driver.host&quot;</span><span class="token punctuation">)</span>
    <span class="token keyword">val</span> driverPort <span class="token operator">=</span> conf<span class="token punctuation">.</span>get<span class="token punctuation">(</span><span class="token string">&quot;spark.driver.port&quot;</span><span class="token punctuation">)</span>
    <span class="token keyword">val</span> argsArrayBuf <span class="token operator">=</span> <span class="token keyword">new</span> ArrayBuffer<span class="token punctuation">[</span><span class="token builtin">String</span><span class="token punctuation">]</span><span class="token punctuation">(</span><span class="token punctuation">)</span>
    argsArrayBuf <span class="token operator">+=</span> <span class="token punctuation">(</span><span class="token string">&quot;--arg&quot;</span><span class="token punctuation">,</span> hostport<span class="token punctuation">)</span>
    <span class="token keyword">val</span> args <span class="token operator">=</span> <span class="token keyword">new</span> ClientArguments<span class="token punctuation">(</span>argsArrayBuf<span class="token punctuation">.</span>toArray<span class="token punctuation">)</span>
    client <span class="token operator">=</span> <span class="token keyword">new</span> Client<span class="token punctuation">(</span>args<span class="token punctuation">,</span> conf<span class="token punctuation">)</span>
    <span class="token comment">// &#x4F7F;&#x7528; Client &#x63D0;&#x4EA4;&#x5E94;&#x7528;</span>
    bindToYarn<span class="token punctuation">(</span>client<span class="token punctuation">.</span>submitApplication<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token punctuation">,</span> None<span class="token punctuation">)</span>
    waitForApplication<span class="token punctuation">(</span><span class="token punctuation">)</span>
<span class="token punctuation">}</span>
</code></pre>
<h2 id="orgapachesparkdeployyarnclient-&#x6E90;&#x7801;&#x518D;&#x5206;&#x6790;"><code>org.apache.spark.deploy.yarn.Client</code> &#x6E90;&#x7801;&#x518D;&#x5206;&#x6790;</h2>
<blockquote>
<p><code>submitApplication</code> &#x65B9;&#x6CD5;</p>
</blockquote>
<pre class="language-"><code class="lang-scala">yarnClient<span class="token punctuation">.</span>submitApplication<span class="token punctuation">(</span>appContext<span class="token punctuation">)</span>
</code></pre>
<blockquote>
<p><code>ExecutorLauncher</code>  &#x7C7B;</p>
</blockquote>
<p><code>yarnClient</code> &#x63D0;&#x4EA4;&#x5E94;&#x7528;&#x7684;&#x65F6;&#x5019;, &#x628A;&#x8981;&#x6267;&#x884C;&#x7684;&#x4E3B;&#x7C7B;(<code>ExecutorLauncher</code>)&#x5C01;&#x88C5;&#x5230;&#x914D;&#x7F6E;&#x4E2D;. &#x6240;&#x4EE5;&#x4E0D;&#x662F;&#x542F;&#x52A8;<code>ApplicationMaster</code>, &#x800C;&#x662F;&#x542F;&#x52A8;<code>ExecutorLauncher</code></p>
<pre class="language-"><code class="lang-scala"><span class="token comment">// createContainerLaunchContext()</span>
<span class="token keyword">val</span> amClass <span class="token operator">=</span>
    <span class="token keyword">if</span> <span class="token punctuation">(</span>isClusterMode<span class="token punctuation">)</span> <span class="token punctuation">{</span>
        Utils<span class="token punctuation">.</span>classForName<span class="token punctuation">(</span><span class="token string">&quot;org.apache.spark.deploy.yarn.ApplicationMaster&quot;</span><span class="token punctuation">)</span><span class="token punctuation">.</span>getName
    <span class="token punctuation">}</span> <span class="token keyword">else</span> <span class="token punctuation">{</span>
        Utils<span class="token punctuation">.</span>classForName<span class="token punctuation">(</span><span class="token string">&quot;org.apache.spark.deploy.yarn.ExecutorLauncher&quot;</span><span class="token punctuation">)</span><span class="token punctuation">.</span>getName
    <span class="token punctuation">}</span>
<span class="token comment">/**
  * This object does not provide any special functionality. It exists so that it&apos;s easy to tell
  * apart the client-mode AM from the cluster-mode AM when using tools such as ps or jps.
  * 
  * &#x8FD9;&#x4E2A;&#x5BF9;&#x8C61;&#x4E0D;&#x63D0;&#x4F9B;&#x4EFB;&#x4F55;&#x7279;&#x5B9A;&#x7684;&#x529F;&#x80FD;.
  * 
  * &#x5B83;&#x7684;&#x5B58;&#x5728;&#x4F7F;&#x5F97;&#x5728;&#x4F7F;&#x7528;&#x8BF8;&#x5982;ps&#x6216;jps&#x4E4B;&#x7C7B;&#x7684;&#x5DE5;&#x5177;&#x65F6;&#xFF0C;&#x5F88;&#x5BB9;&#x6613;&#x533A;&#x5206;&#x5BA2;&#x6237;&#x673A;&#x6A21;&#x5F0F;AM&#x548C;&#x96C6;&#x7FA4;&#x6A21;&#x5F0F;AM&#x3002;
  * 
  */</span>
<span class="token keyword">object</span> ExecutorLauncher <span class="token punctuation">{</span>

    <span class="token keyword">def</span> main<span class="token punctuation">(</span>args<span class="token operator">:</span> Array<span class="token punctuation">[</span><span class="token builtin">String</span><span class="token punctuation">]</span><span class="token punctuation">)</span><span class="token operator">:</span> <span class="token builtin">Unit</span> <span class="token operator">=</span> <span class="token punctuation">{</span>
        ApplicationMaster<span class="token punctuation">.</span>main<span class="token punctuation">(</span>args<span class="token punctuation">)</span>
    <span class="token punctuation">}</span>
<span class="token punctuation">}</span>
</code></pre>
<h2 id="applicationmaster-&#x6E90;&#x7801;&#x518D;&#x5206;&#x6790;"><code>ApplicationMaster</code> &#x6E90;&#x7801;&#x518D;&#x5206;&#x6790;</h2>
<blockquote>
<p><code>run</code> &#x65B9;&#x6CD5;</p>
</blockquote>
<pre class="language-"><code class="lang-scala"><span class="token keyword">final</span> <span class="token keyword">def</span> run<span class="token punctuation">(</span><span class="token punctuation">)</span><span class="token operator">:</span> <span class="token builtin">Int</span> <span class="token operator">=</span> <span class="token punctuation">{</span>
    <span class="token keyword">try</span> <span class="token punctuation">{</span>
        <span class="token keyword">if</span> <span class="token punctuation">(</span>isClusterMode<span class="token punctuation">)</span> <span class="token punctuation">{</span>
            runDriver<span class="token punctuation">(</span>securityMgr<span class="token punctuation">)</span>
        <span class="token punctuation">}</span> <span class="token keyword">else</span> <span class="token punctuation">{</span>
            <span class="token comment">// &#x975E;&#x96C6;&#x7FA4;&#x6A21;&#x5F0F;, &#x76F4;&#x63A5;&#x6267;&#x884C; ExecutorLauncher, &#x800C;&#x4E0D;&#x5728;&#x9700;&#x8981;&#x8FD0;&#x884C; Driver</span>
            runExecutorLauncher<span class="token punctuation">(</span>securityMgr<span class="token punctuation">)</span>
        <span class="token punctuation">}</span>
    <span class="token punctuation">}</span> <span class="token keyword">catch</span> <span class="token punctuation">{</span>

    <span class="token punctuation">}</span>
    exitCode
<span class="token punctuation">}</span>
</code></pre>
<blockquote>
<p><code>runExecutorLauncher</code></p>
</blockquote>
<pre class="language-"><code class="lang-scala"><span class="token keyword">private</span> <span class="token keyword">def</span> runExecutorLauncher<span class="token punctuation">(</span>securityMgr<span class="token operator">:</span> SecurityManager<span class="token punctuation">)</span><span class="token operator">:</span> <span class="token builtin">Unit</span> <span class="token operator">=</span> <span class="token punctuation">{</span>
    <span class="token keyword">val</span> driverRef <span class="token operator">=</span> waitForSparkDriver<span class="token punctuation">(</span><span class="token punctuation">)</span>
    addAmIpFilter<span class="token punctuation">(</span><span class="token punctuation">)</span>
    registerAM<span class="token punctuation">(</span>sparkConf<span class="token punctuation">,</span> rpcEnv<span class="token punctuation">,</span> driverRef<span class="token punctuation">,</span> sparkConf<span class="token punctuation">.</span>get<span class="token punctuation">(</span><span class="token string">&quot;spark.driver.appUIAddress&quot;</span><span class="token punctuation">,</span> <span class="token string">&quot;&quot;</span><span class="token punctuation">)</span><span class="token punctuation">,</span>
        securityMgr<span class="token punctuation">)</span>

    <span class="token comment">// In client mode the actor will stop the reporter thread.</span>
    reporterThread<span class="token punctuation">.</span>join<span class="token punctuation">(</span><span class="token punctuation">)</span>
<span class="token punctuation">}</span>
</code></pre>
<h3 id="&#x5728;&#x4EE5;&#x540E;&#x7684;&#x6267;&#x884C;&#x6D41;&#x7A0B;&#x5C31;&#x548C;yarn-cluster&#x6A21;&#x5F0F;&#x4E00;&#x6837;&#x4E86;-&#x4E0D;&#x518D;&#x8D58;&#x8FF0;">&#x5728;&#x4EE5;&#x540E;&#x7684;&#x6267;&#x884C;&#x6D41;&#x7A0B;&#x5C31;&#x548C;<code>yarn-cluster</code>&#x6A21;&#x5F0F;&#x4E00;&#x6837;&#x4E86;. &#x4E0D;&#x518D;&#x8D58;&#x8FF0;</h3>
<h2 id="&#x603B;&#x7ED3;">&#x603B;&#x7ED3;</h2>
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